A variable neighborhood search based feature selection model for early prediction of the Alzhemier's disease

Ataş, Pınar Karadayı; Tufan, Kadır; Şevkli, Aişe Zülal

doi:10.1109/ebbt.2016.7483679

Cited by 2 publications

(1 citation statement)

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“…The initial hypothetical target location is u BLH = [28.81 • E, 123.42 • N, 0]. The detection range of the sky-wave over-the-horizon radar can reach low-altitude or maritime targets of 800 km~2000 km [24], so the minimum detection range in this paper is about 950 km, and the maximum detection range is about 1600 km.…”

Section: Simulation Resultsmentioning

confidence: 98%

Distributed Multistatic Sky-Wave Over-The-Horizon Radar Based on the Doppler Frequency for Marine Target Positioning

Ren¹,

Gao²,

Yang³

2021

Electronics

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Maritime safety issues have aroused great attention, and it has become a difficult problem to use the sky-wave over-the-horizon radar system to locate foreign targets or perform emergency rescue quickly and timely. In this paper, a distributed multi-point sky-wave over-the-horizon radar system is used to locate marine targets. A positioning algorithm based on the Doppler frequency is proposed, namely, the two-step weighted least squares (2WLS) method. This algorithm first converts the WGS-48 geodetic coordinates of the transceiver station to spatial rectangular coordinates; then, introduces intermediate variables to convert the nonlinear optimization problem into a linear problem. In the 2WLS method, four mobile transmitters and four mobile receivers are set up, and the Doppler frequency is calculated by transmitting and receiving signals at regular intervals; it is proven that the 2WLS algorithm has always maintained a better positioning accuracy than the WLS algorithm as the error continues to increase with a certain ionospheric height measurement error and the Doppler frequency measurement error. This paper provides an effective method for the sky-wave over-the-horizon radar to locate maritime targets.

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Section: Simulation Resultsmentioning

confidence: 98%